106 software engineer gpu jobs at 70 companies in Rohnert Park, CA
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GPU Kernel Engineer
San Francisco, California, United States
$180k-$280k/yrOnsiteFull Time
TypeSafe AI: Building reliable, general frontier AI models for automation.
Deep CUDA/GPU kernel expertise, experience building and optimizing training and inference kernels, LLM training experience, profiling and eliminating performance bottlenecks.
Fluidstack: Provides high-performance cloud GPU infrastructure for AI development.
Experience building automation and observability for large GPU fleets; familiarity with firmware/BMC/Redfish/IPMI, Kubernetes, metrics and alerting, and production automation; comfortable with incident response and on-call.
Together AI: Cloud platform for training and deploying artificial intelligence models.
Strong software engineering experience with Go, Python, or Rust; durable workflow orchestration (Temporal/Cadence); control-plane/orchestration and event-driven system experience; product mindset building internal platforms.
Baseten: Scalable infrastructure platform for deploying and serving AI models.
Staff-level experience building production infrastructure software, strong distributed systems and telemetry pipeline background, networking and high-performance network knowledge, experience processing high-volume operational data.
Member of Technical Staff (Software Engineer, GPU Cluster Infrastructure)
San Francisco or Seattle or New York City or United States
$250k-$485k/yrOnsiteFull Time
Perplexity: AI-powered search engine providing conversational answers with citations.
Deep Kubernetes and GPU cluster experience, multi-cloud orchestration, strong distributed systems fundamentals, systems-level coding in Go/Rust/C++, and experience with training and inference workloads.
Lightning AI: Unified platform to build, train, and deploy AI models.
5+ YOE5+ years in infrastructure or systems engineering; strong Linux in production; GPU hardware and software experience; bare-metal provisioning; Python automation; debugging across hardware/OS/GPU.
Member of Technical Staff - GPU Infrastructure Engineer
San Francisco, California, United States
OnsiteFull Time
Liquid AI: Develops efficient general-purpose artificial intelligence foundation models.
Strong software engineering with production infrastructure tooling, deep distributed systems/Linux/networking/storage knowledge, experience operating shared compute clusters and supporting production users.
Sr. Software Development Engineer - Video Rendering
Seattle or San Francisco or San Jose
$174k-$331k/yrOnsiteFull Time
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
10+ YOE10+ years software engineering with deep GPU/graphics or rendering systems experience, strong modern C++, and knowledge of GPU APIs, shading languages, and performance debugging.
Anyscale: Cloud platform for scaling distributed machine learning applications.
5+ YOE5+ years in distributed systems or software engineering; strong C/C++ and low-level OS experience; experience building scalable, fault-tolerant distributed systems; knowledge of distributed model training and inference; GPU programming preferred.
Software Engineer, ML Systems & Training Architecture
San Francisco, California, United States
$295k-$380k/yrOnsiteFull Time
OpenAI: Develops artificial intelligence models and generative AI software services.
Senior Software Engineer with ML systems, training frameworks, GPUs, and distributed systems experience; strong code review, debugging, and infrastructure skills; hands-on IC.
GPUs, Distributed systems, Training frameworks, Python, C++, Linux
Crusoe: Provides energy-efficient cloud infrastructure powered by stranded and renewable energy.
Hands-on experience diagnosing and repairing rack-mounted GPU systems, proficiency coding in Golang, strong Linux skills, familiarity with NVIDIA/AMD GPU platforms and high-speed interconnects, and ability to operate in fast-paced data center environments.
Tavus: Develops AI models for creating emotionally intelligent digital humans.
Fluent in Python with concurrent programming experience, built real-time systems, senior-level ownership and communication skills; familiarity with GPUs, video streaming, and LLMs preferred.
Zendar: High-resolution radar perception systems for autonomous vehicles and robotics
5+ YOE5+ years software engineering experience, proficiency in C++ and Python, experience leading features to production, strong problem decomposition and communication skills, ability to work onsite in Berkeley at least Tue–Thu.
Edinburgh or New York City or Atlanta or San Francisco or Seattle
HybridFull Time
BlackRockNYSE: BLK: Provides investment management and financial technology services globally.
3+ YOE3+ years professional software engineering experience; strong Python and SQL skills; experience building, testing, deploying, and operating cloud-native applications, services, APIs, or data pipelines; strong engineering fundamentals and communication.
Chef Robotics: AI-powered robotic systems for automated food manufacturing.
Experience building Linux-based systems in C/C++/Rust, deploying software to networked edge devices, ROS 2/DDS familiarity, strong engineering fundamentals, and debugging low-level systems.
Gradient Robotics: Developing autonomous humanoid robots for data center industrial environments.
5+ YOE5+ years building production software close to hardware (drivers,kernels,embedded,robotics); experience with Linux kernel, multithreading, timing and concurrency debugging; able to work on-site in San Francisco.
Vast.ai: Decentralized marketplace for GPU cloud computing resources.
Strong systems programming (ideally C++), deep Linux and virtualization knowledge, experience with containerization, multi-tenant and GPU security, and ability to benchmark and harden performance-critical infrastructure.